The symptom is specific: the AI retrieves an archived offer instead of the current one. Start with the affected item and identify the decision or input that could produce this behavior.
Find the likely cause
Source versions are not clearly distinguished.
Treat this as an explanation to verify against the actual work. Look at the input, the relevant decision, and the final result together. If the evidence does not support this diagnosis, investigate the mismatch before applying a convenient but unrelated fix.
Make the targeted correction
Label active and archived records and prefer the appropriate current source.
Retrieval helps drafting only when the selected material is relevant, current enough for the task, and identifiable to a reviewer.
Check that the repair worked
Inspect retrieved passages for version and applicability.
Repeat the check on the final version that the reader or customer will encounter. An approved draft, a preview, and a published result can differ; the acceptance decision should concern the version people actually use.
Prevent the next related failure
A separate issue to watch for is this: search finds the right document but the wrong passage. Refine retrieval around the specific question and include surrounding context.
Monitor the useful outcome
Track source relevance, missing context, and answer corrections caused by retrieval failures.
Keep a short record of the original symptom, the evidence behind the diagnosis, and the result of the acceptance check. That record makes the solution reusable when the same condition appears again, without assuming that every superficially similar problem has the same cause.